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Abstract
As a new field of academic enquiry, applied history has a unique opportunity to learn lessons from other applied fields. In this essay, we set out how we think applied historians can learn from past successes and mistakes of applied economists and economic policymakers in their use, and abuse, of economic theory and economic history. What we call here the “New Applied History” has great potential to improve the way policymaking is conducted. But only if its practitioners understand the power, and limitations, of theory. We apply our ideas to the case of budgetary policymaking in the United States.
Abstract
This article introduces the new dataset Cohort Component Population Estimates for Ireland, 1911–1920 (www.doi.org/10.5255/UKDA-SN-854673). The dataset provides vital statistics and cohort component population estimates at a spatially-disaggregated level for the island of Ireland for the period 1911–1920. The raw data were digitised by the authors using official UK government statistics. The population estimates were then derived by the cohort component method. These data provide novel intercensal population estimates at the county level that will be beneficial for researchers working in historical demography, as well as in economic and social history. The data provided can be readily reused and extended by other researchers to produce further series and indicators. An example application of the data in this manner is Colvin and McLaughlin (2021), who combine these population estimates with mortality statistics from the Spanish flu pandemic to demonstrate how demographic composition affects the interpretation of data on public health crises.